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MORSE Corp

Aerospace Algorithms Engineer

Cambridge, Massachusetts, United States +2

Location
Cambridge, Massachusetts, United States · Arlington, Virginia, United States · Seattle, Washington, United States
Work
Not stated
Employment
Not stated
Level
Senior
Function
Engineering
Pay
$90K – $180K a year
Posted
3 months ago

Pay and the market here

The top of this role’s range, $180K a year, is about the median of $182K for senior engineering jobs in Cambridge (middle half $174K – $235K, 50 jobs that state pay).

200 engineering jobs open in Cambridge: 4% remote, 54 posted in the last 30 days.

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About the role

MORSE Corp is an employee owned, small business based in Cambridge, MA, Arlington, VA, and Seattle, WA with a history of fielding cutting-edge technology. MORSE boasts a specially selected team of scientists, engineers, and software developers to deliver best-in-class technical solutions that solve difficult multidisciplinary problems faced by the US National Security Ecosystem.

Job Summary

As an Aerospace Algorithms Engineer at MORSE you will be working on a broad set of applications developing novel physics, statistical, and mathematical models for use in mission planning tools used by military personnel and first responders. MORSE is looking for engineers with a strong background in physics, aerospace, robotics, math, and statistics who are also able to develop their algorithms in software to function efficiently and be readily testable.

Responsibilities

  • Develop and own algorithms throughout their lifecycle, including conception, development, documentation, deployment, and testing.
  • Process and analyze raw data
  • Simulate and validate algorithmic performance using dynamic systems.
  • Present technical work through white papers, analysis test reports, and oral presentations.
  • Collaborate with cross-functional teams to ensure seamless integration of algorithms into software solutions.

Skills and Requirements

The candidate must have the ambition to own mission planning algorithms for their entire lifecycle: conception of the solution, development, documentation, deployment in software, and testing. Most importantly, the candidate must be passionate about developing solutions that are fieldable!

  • US CITIZENSHIP REQUIRED or the ability to obtain a U.S. Security Clearance.
  • MS or PhD in Aerospace Engineering, Robotics, Physics or other relevant field
  • 5+ years of experience
  • Proficiency in Python algorithm and software development practices.
  • Strong background in physics, math, and statistics.
  • Experience with developing algorithms and simulations.
  • Experience simulating dynamic systems to test and validate algorithmic performance
  • Experience describing systems via equations of motion derived from first-principle engineering analysis
  • Experience presenting technical work through white papers, analysis test reports, and oral presentations.
  • Travel up to 25%

MORSE Corp’s salary range for this role carefully considers a wide range of compensation factors, including but not limited to, prior experience, education, skills and expertise, location, internal equity, and other factors that are job related and consistent with business need. Therefore, final offer amounts may vary from the amount stated. Depending on role eligibility, total compensation may also include bonus, stock, 401(k) match, paid time off, medical, dental, vision and life insurance.

Employees also receive 10 paid holidays per year. MORSE maintains an “open” leave policy that does not restrict exempt, regular full-time employees to a specific number of paid sick or vacation days. However, this policy is not an “unlimited” paid leave policy.

Compensation

$90,000—$180,000 USD

The team at MORSE takes pride in being the smart team that is easy to work with. We focus on steady, long-term success with an emphasis on exceptionalism and delivering mission-critical impact to our customers. For more information, please visit www.morsecorp.com.

Source

Posted by MORSE Corp on their own hiring page, boards.greenhouse.io. OptiTalent shows it as published, read 07 Nov 2026 11:18 UTC; the original is the reference.

View the original ad ↗

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